Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
EMNLP 2024
A Unified Framework for Model Editing
EMNLP 2024
A Unified Generative Framework for Bilingual Euphemism Detection and Identification
ACL 2024
A Unified LLM-KG Framework to Assist Fact-Checking in Public Deliberation
COLING 2024
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities
AAAI 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
NeurIPS 2024
A Unifying Variational Framework for Gaussian Process Motion Planning
AISTATS 2024
AuRoRA: A One-for-all Platform for Augmented Reasoning and Refining with Task-Adaptive Chain-of-Thought Prompting
COLING 2024
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
EMNLP 2024
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
AAAI 2024
Authentic Hand Avatar from a Phone Scan via Universal Hand Model
CVPR 2024
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
EMNLP 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
ACL 2024
AutoAD III: The Prequel - Back to the Pixels
CVPR 2024
AutoAgents: A Framework for Automatic Agent Generation
IJCAI 2024
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
NeurIPS 2024
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
COLT 2024
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
ICLR 2024
AutoCD: Automated Machine Learning for Causal Discovery Algorithms
PGM 2024
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
ICLR 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
EMNLP 2024
AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication Technologies
IJCAI 2024
AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints
ACL 2024
Autoencoding Conditional Neural Processes for Representation Learning
ICML 2024
Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Framework
EMNLP 2024